hh_r_silc_2023 <- r_silc_2023 %>%
group_by(country, hh_id) %>%
mutate(
n_employed = sum(econ_status == "Employed", na.rm = TRUE),
n_retired = sum(econ_status == "Retired", na.rm = TRUE),
n_persons = n()
) %>%
slice(1) %>%
ungroup %>%
mutate(across(c(country, urbanisation, region), as_factor)) %>%
mutate(
r_urbanisation = if_else(is.na(urbanisation), "Not available", urbanisation) %>%
factor(., levels = c(
"Cities (DB010>=2021), Densely populated area (EE,LV:1,2=1) (DB010<2021)",
"Towns and suburbs (MT:2,3=2) (DB010>=2021), Intermediate area (MT:2,3=2) (DB010<2021)",
"Rural areas (DB010>=2021), Thinly populated area (DB010<2021)",
"Not available"
),
labels = c("Cities", "Towns and suburbs", "Rural areas", "N/A")
),
total_disposable_income_before_social_transfers_eqi =
total_disposable_income_before_social_transfers / consumption_units
) %>%
group_by(country) %>%
mutate(disposable_income_before_quantiles = as.numeric(cut(total_disposable_income_before_social_transfers, breaks = 50))) %>%
ungroup()
calculate_dimensions <- function(df){
df %>%
mutate(
dim_affordability = housing_overburden,
dim_insecurity = arrears_mortgage_rent %in% c("Yes, once", "Yes, twice or more") |
arrears_utility %in% c("Yes, once", "Yes, twice or more"),
dim_quality = case_when(
is.na(overcrowded_eurostat) ~ NA,
TRUE ~ (overcrowded_eurostat |
ability_to_keep_warm == "No"),
),
dim_quality2 = case_when(
is.na(overcrowded_eurostat) ~ NA,
TRUE ~ (overcrowded_eurostat |
ability_to_keep_warm == "No" |
bath_shower %in% c("No", "Yes, shared") |
toilet %in% c("No", "Yes, shared") |
leaks_damp == "Yes"),
),
dim_locality =
probs_noise == "Yes" |
probs_crime == "Yes" |
probs_noise == "Yes",
)
}
Czechia
m_out <- matchit(takeup_allowance_housing ~ n_children + n_employed +
n_retired + n_persons + total_disposable_income_before_social_transfers_eqi +
# country +
region + r_urbanisation + tenure_status,
# exact = ~ country + tenure_status,
method = "nearest",
distance = "mahalanobis",
replace = TRUE,
exact = ~ n_children + n_employed + n_persons + n_retired +
tenure_status + disposable_income_before_quantiles +
r_urbanisation + region,
data = hh_r_silc_2023 %>%
filter(country == "Czech Republic") %>%
filter(!is.na(takeup_allowance_housing)) %>%
filter(!is.na(tenure_status)))
summary(m_out)
##
## Call:
## matchit(formula = takeup_allowance_housing ~ n_children + n_employed +
## n_retired + n_persons + total_disposable_income_before_social_transfers_eqi +
## region + r_urbanisation + tenure_status, data = hh_r_silc_2023 %>%
## filter(country == "Czech Republic") %>% filter(!is.na(takeup_allowance_housing)) %>%
## filter(!is.na(tenure_status)), method = "nearest", distance = "mahalanobis",
## exact = ~n_children + n_employed + n_persons + n_retired +
## tenure_status + disposable_income_before_quantiles +
## r_urbanisation + region, replace = TRUE)
##
## Summary of Balance for All Data:
## Means Treated Means Control
## n_children 0.4644 0.2119
## n_employed 0.2949 0.8768
## n_retired 0.4814 0.6907
## n_persons 2.0881 2.0946
## total_disposable_income_before_social_transfers_eqi 5371.4541 13574.8806
## regionCZ01 0.1085 0.1071
## regionCZ02 0.0508 0.1260
## regionCZ03 0.0678 0.1241
## regionCZ04 0.1492 0.1038
## regionCZ05 0.1051 0.1447
## regionCZ06 0.1492 0.1722
## regionCZ07 0.1220 0.1070
## regionCZ08 0.2475 0.1151
## r_urbanisationCities 0.4373 0.3077
## r_urbanisationTowns and suburbs 0.3424 0.3367
## r_urbanisationRural areas 0.2203 0.3556
## tenure_statusOwner without outstanding mortgage 0.2407 0.6334
## tenure_statusOwner with outstanding mortgage 0.0169 0.1206
## tenure_statusTenant, rent at market price 0.6949 0.1554
## tenure_statusTenant, rent at reduced price 0.0271 0.0111
## tenure_statusTenant, rent free 0.0203 0.0795
## disposable_income_before_quantiles 9.2542 12.2687
## Std. Mean Diff. Var. Ratio
## n_children 0.2810 2.4966
## n_employed -1.0801 0.3547
## n_retired -0.3632 0.5546
## n_persons -0.0044 1.6645
## total_disposable_income_before_social_transfers_eqi -2.1715 0.2607
## regionCZ01 0.0044 .
## regionCZ02 -0.3419 .
## regionCZ03 -0.2241 .
## regionCZ04 0.1272 .
## regionCZ05 -0.1291 .
## regionCZ06 -0.0646 .
## regionCZ07 0.0460 .
## regionCZ08 0.3066 .
## r_urbanisationCities 0.2612 .
## r_urbanisationTowns and suburbs 0.0120 .
## r_urbanisationRural areas -0.3264 .
## tenure_statusOwner without outstanding mortgage -0.9187 .
## tenure_statusOwner with outstanding mortgage -0.8031 .
## tenure_statusTenant, rent at market price 1.1718 .
## tenure_statusTenant, rent at reduced price 0.0988 .
## tenure_statusTenant, rent free -0.4192 .
## disposable_income_before_quantiles -2.3643 0.1615
## eCDF Mean eCDF Max
## n_children 0.0505 0.1159
## n_employed 0.0970 0.3104
## n_retired 0.0533 0.1558
## n_persons 0.0327 0.1496
## total_disposable_income_before_social_transfers_eqi 0.3914 0.6410
## regionCZ01 0.0014 0.0014
## regionCZ02 0.0751 0.0751
## regionCZ03 0.0563 0.0563
## regionCZ04 0.0453 0.0453
## regionCZ05 0.0396 0.0396
## regionCZ06 0.0230 0.0230
## regionCZ07 0.0150 0.0150
## regionCZ08 0.1323 0.1323
## r_urbanisationCities 0.1296 0.1296
## r_urbanisationTowns and suburbs 0.0057 0.0057
## r_urbanisationRural areas 0.1353 0.1353
## tenure_statusOwner without outstanding mortgage 0.3928 0.3928
## tenure_statusOwner with outstanding mortgage 0.1037 0.1037
## tenure_statusTenant, rent at market price 0.5395 0.5395
## tenure_statusTenant, rent at reduced price 0.0161 0.0161
## tenure_statusTenant, rent free 0.0592 0.0592
## disposable_income_before_quantiles 0.0814 0.5646
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## n_children 0.0764 0.0764
## n_employed 0.1847 0.1847
## n_retired 0.7261 0.7261
## n_persons 1.2548 1.2548
## total_disposable_income_before_social_transfers_eqi 6751.9760 6774.2358
## regionCZ01 0.1529 0.1529
## regionCZ02 0.0382 0.0382
## regionCZ03 0.0510 0.0510
## regionCZ04 0.1083 0.1083
## regionCZ05 0.0892 0.0892
## regionCZ06 0.1274 0.1274
## regionCZ07 0.1338 0.1338
## regionCZ08 0.2994 0.2994
## r_urbanisationCities 0.4586 0.4586
## r_urbanisationTowns and suburbs 0.3376 0.3376
## r_urbanisationRural areas 0.2038 0.2038
## tenure_statusOwner without outstanding mortgage 0.3439 0.3439
## tenure_statusOwner with outstanding mortgage 0.0064 0.0064
## tenure_statusTenant, rent at market price 0.6051 0.6051
## tenure_statusTenant, rent at reduced price 0.0127 0.0127
## tenure_statusTenant, rent free 0.0318 0.0318
## disposable_income_before_quantiles 9.3057 9.3057
## Std. Mean Diff. Var. Ratio
## n_children 0.0000 0.9977
## n_employed 0.0000 0.9977
## n_retired 0.0000 0.9977
## n_persons -0.0000 0.9977
## total_disposable_income_before_social_transfers_eqi -0.0059 0.9441
## regionCZ01 0.0000 .
## regionCZ02 0.0000 .
## regionCZ03 0.0000 .
## regionCZ04 0.0000 .
## regionCZ05 0.0000 .
## regionCZ06 0.0000 .
## regionCZ07 0.0000 .
## regionCZ08 0.0000 .
## r_urbanisationCities 0.0000 .
## r_urbanisationTowns and suburbs 0.0000 .
## r_urbanisationRural areas 0.0000 .
## tenure_statusOwner without outstanding mortgage 0.0000 .
## tenure_statusOwner with outstanding mortgage 0.0000 .
## tenure_statusTenant, rent at market price 0.0000 .
## tenure_statusTenant, rent at reduced price 0.0000 .
## tenure_statusTenant, rent free 0.0000 .
## disposable_income_before_quantiles 0.0000 0.9977
## eCDF Mean eCDF Max
## n_children 0.0000 0.0000
## n_employed 0.0000 0.0000
## n_retired 0.0000 0.0000
## n_persons 0.0000 0.0000
## total_disposable_income_before_social_transfers_eqi 0.0078 0.0573
## regionCZ01 0.0000 0.0000
## regionCZ02 0.0000 0.0000
## regionCZ03 0.0000 0.0000
## regionCZ04 0.0000 0.0000
## regionCZ05 0.0000 0.0000
## regionCZ06 0.0000 0.0000
## regionCZ07 0.0000 0.0000
## regionCZ08 0.0000 0.0000
## r_urbanisationCities 0.0000 0.0000
## r_urbanisationTowns and suburbs 0.0000 0.0000
## r_urbanisationRural areas 0.0000 0.0000
## tenure_statusOwner without outstanding mortgage 0.0000 0.0000
## tenure_statusOwner with outstanding mortgage 0.0000 0.0000
## tenure_statusTenant, rent at market price 0.0000 0.0000
## tenure_statusTenant, rent at reduced price 0.0000 0.0000
## tenure_statusTenant, rent free 0.0000 0.0000
## disposable_income_before_quantiles 0.0000 0.0000
## Std. Pair Dist.
## n_children 0.0000
## n_employed 0.0000
## n_retired 0.0000
## n_persons 0.0000
## total_disposable_income_before_social_transfers_eqi 0.1205
## regionCZ01 0.0000
## regionCZ02 0.0000
## regionCZ03 0.0000
## regionCZ04 0.0000
## regionCZ05 0.0000
## regionCZ06 0.0000
## regionCZ07 0.0000
## regionCZ08 0.0000
## r_urbanisationCities 0.0000
## r_urbanisationTowns and suburbs 0.0000
## r_urbanisationRural areas 0.0000
## tenure_statusOwner without outstanding mortgage 0.0000
## tenure_statusOwner with outstanding mortgage 0.0000
## tenure_statusTenant, rent at market price 0.0000
## tenure_statusTenant, rent at reduced price 0.0000
## tenure_statusTenant, rent free 0.0000
## disposable_income_before_quantiles 0.0000
##
## Sample Sizes:
## Control Treated
## All 8225. 295
## Matched (ESS) 115.72 157
## Matched 134. 157
## Unmatched 8091. 138
## Discarded 0. 0
plot(summary(m_out))
m_data <- match_data(m_out) %>%
calculate_dimensions()
m_data %>%
group_by(takeup_allowance_housing) %>%
summarise(across(c(starts_with("dim")), mean)) %>%
knitr::kable()
| FALSE |
0.4850746 |
0.0447761 |
0.3880597 |
0.4179104 |
0.2313433 |
| TRUE |
0.6878981 |
0.0636943 |
0.4140127 |
0.4904459 |
0.2611465 |
glm(dim_insecurity ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = m_data) %>%
modelsummary(., stars = TRUE)
tinytable_3nj0z2ivpxm6i4vry4xk
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-1.723** |
| |
(0.542) |
| takeup_allowance_housingTRUE |
0.311 |
| |
(0.542) |
| total_disposable_income_before_social_transfers_eqi |
0.000** |
| |
(0.000) |
| Num.Obs. |
291 |
| AIC |
119.8 |
| BIC |
130.8 |
| Log.Lik. |
-56.893 |
| F |
5.120 |
| RMSE |
0.22 |
glm(dim_quality ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = m_data) %>%
modelsummary(., stars = TRUE)
tinytable_q7ta0cxbafjhsxpxsxqb
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
0.628+ |
| |
(0.331) |
| takeup_allowance_housingTRUE |
0.059 |
| |
(0.248) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
291 |
| AIC |
381.3 |
| BIC |
392.3 |
| Log.Lik. |
-187.656 |
| F |
7.634 |
| RMSE |
0.48 |
glm(dim_quality2 ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = m_data) %>%
modelsummary(., stars = TRUE)
tinytable_4aw3hexcnuapzif1bsle
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
0.727* |
| |
(0.333) |
| takeup_allowance_housingTRUE |
0.257 |
| |
(0.244) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
291 |
| AIC |
389.9 |
| BIC |
400.9 |
| Log.Lik. |
-191.928 |
| F |
7.758 |
| RMSE |
0.48 |
glm(dim_locality ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = m_data) %>%
modelsummary(., stars = TRUE)
tinytable_8592pb5hr2aho1oukj25
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-0.732* |
| |
(0.345) |
| takeup_allowance_housingTRUE |
0.139 |
| |
(0.275) |
| total_disposable_income_before_social_transfers_eqi |
0.000+ |
| |
(0.000) |
| Num.Obs. |
291 |
| AIC |
328.5 |
| BIC |
339.5 |
| Log.Lik. |
-161.264 |
| F |
1.535 |
| RMSE |
0.43 |
glm(overcrowded_eurostat ~ takeup_allowance_housing +
total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = m_data) %>%
modelsummary(., stars = TRUE)
tinytable_arhla3r5hpa3ju2lebcu
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-0.267 |
| |
(0.360) |
| takeup_allowance_housingTRUE |
-0.797** |
| |
(0.309) |
| total_disposable_income_before_social_transfers_eqi |
0.000** |
| |
(0.000) |
| Num.Obs. |
291 |
| AIC |
278.1 |
| BIC |
289.1 |
| Log.Lik. |
-136.049 |
| F |
6.115 |
| RMSE |
0.38 |
Finland
fi_m_out <- matchit(takeup_allowance_housing ~ n_children + n_employed +
n_retired + n_persons + total_disposable_income_before_social_transfers_eqi +
# country +
region + r_urbanisation + tenure_status,
# exact = ~ country + tenure_status,
method = "nearest",
distance = "mahalanobis",
replace = TRUE,
exact = ~ n_children + n_employed + n_persons + n_retired +
tenure_status + disposable_income_before_quantiles +
r_urbanisation + region,
data = hh_r_silc_2023 %>%
filter(country == "Suomi") %>%
filter(!is.na(takeup_allowance_housing)) %>%
filter(!is.na(tenure_status)))
summary(fi_m_out)
##
## Call:
## matchit(formula = takeup_allowance_housing ~ n_children + n_employed +
## n_retired + n_persons + total_disposable_income_before_social_transfers_eqi +
## region + r_urbanisation + tenure_status, data = hh_r_silc_2023 %>%
## filter(country == "Suomi") %>% filter(!is.na(takeup_allowance_housing)) %>%
## filter(!is.na(tenure_status)), method = "nearest", distance = "mahalanobis",
## exact = ~n_children + n_employed + n_persons + n_retired +
## tenure_status + disposable_income_before_quantiles +
## r_urbanisation + region, replace = TRUE)
##
## Summary of Balance for All Data:
## Means Treated Means Control
## n_children 0.2736 0.2971
## n_employed 0.5786 1.1690
## n_retired 0.1950 0.5223
## n_persons 1.9908 2.4270
## total_disposable_income_before_social_transfers_eqi 12550.3346 35776.7217
## regionFI19 0.2745 0.2651
## regionFI1B 0.3022 0.2988
## regionFI1C 0.1867 0.2045
## regionFI1D 0.2366 0.2316
## r_urbanisationCities 0.5564 0.3570
## r_urbanisationTowns and suburbs 0.2819 0.3127
## r_urbanisationRural areas 0.1617 0.3303
## tenure_statusOwner without outstanding mortgage 0.0841 0.4320
## tenure_statusOwner with outstanding mortgage 0.1026 0.4180
## tenure_statusTenant, rent at market price 0.4113 0.0796
## tenure_statusTenant, rent at reduced price 0.4002 0.0619
## tenure_statusTenant, rent free 0.0018 0.0085
## disposable_income_before_quantiles 1.0536 1.2328
## Std. Mean Diff. Var. Ratio
## n_children -0.0305 1.1173
## n_employed -0.7926 0.7182
## n_retired -0.7429 0.3260
## n_persons -0.2838 1.4224
## total_disposable_income_before_social_transfers_eqi -1.6753 0.0609
## regionFI19 0.0211 .
## regionFI1B 0.0075 .
## regionFI1C -0.0457 .
## regionFI1D 0.0117 .
## r_urbanisationCities 0.4012 .
## r_urbanisationTowns and suburbs -0.0684 .
## r_urbanisationRural areas -0.4578 .
## tenure_statusOwner without outstanding mortgage -1.2536 .
## tenure_statusOwner with outstanding mortgage -1.0395 .
## tenure_statusTenant, rent at market price 0.6740 .
## tenure_statusTenant, rent at reduced price 0.6905 .
## tenure_statusTenant, rent free -0.1546 .
## disposable_income_before_quantiles -0.6719 0.1161
## eCDF Mean eCDF Max
## n_children 0.0060 0.0321
## n_employed 0.1181 0.2971
## n_retired 0.0818 0.1729
## n_persons 0.0401 0.3379
## total_disposable_income_before_social_transfers_eqi 0.3853 0.6446
## regionFI19 0.0094 0.0094
## regionFI1B 0.0034 0.0034
## regionFI1C 0.0178 0.0178
## regionFI1D 0.0050 0.0050
## r_urbanisationCities 0.1993 0.1993
## r_urbanisationTowns and suburbs 0.0308 0.0308
## r_urbanisationRural areas 0.1686 0.1686
## tenure_statusOwner without outstanding mortgage 0.3479 0.3479
## tenure_statusOwner with outstanding mortgage 0.3154 0.3154
## tenure_statusTenant, rent at market price 0.3317 0.3317
## tenure_statusTenant, rent at reduced price 0.3383 0.3383
## tenure_statusTenant, rent free 0.0066 0.0066
## disposable_income_before_quantiles 0.0134 0.1484
##
## Summary of Balance for Matched Data:
## Means Treated Means Control
## n_children 0.1017 0.1017
## n_employed 0.5847 0.5847
## n_retired 0.2240 0.2240
## n_persons 1.5811 1.5811
## total_disposable_income_before_social_transfers_eqi 12817.0781 14763.7388
## regionFI19 0.2748 0.2748
## regionFI1B 0.3257 0.3257
## regionFI1C 0.1937 0.1937
## regionFI1D 0.2058 0.2058
## r_urbanisationCities 0.5521 0.5521
## r_urbanisationTowns and suburbs 0.2966 0.2966
## r_urbanisationRural areas 0.1513 0.1513
## tenure_statusOwner without outstanding mortgage 0.0920 0.0920
## tenure_statusOwner with outstanding mortgage 0.0944 0.0944
## tenure_statusTenant, rent at market price 0.4068 0.4068
## tenure_statusTenant, rent at reduced price 0.4068 0.4068
## tenure_statusTenant, rent free 0.0000 0.0000
## disposable_income_before_quantiles 1.0400 1.0400
## Std. Mean Diff. Var. Ratio
## n_children 0.0000 0.9938
## n_employed 0.0000 0.9938
## n_retired 0.0000 0.9938
## n_persons 0.0000 0.9938
## total_disposable_income_before_social_transfers_eqi -0.1404 1.0108
## regionFI19 0.0000 .
## regionFI1B 0.0000 .
## regionFI1C 0.0000 .
## regionFI1D 0.0000 .
## r_urbanisationCities 0.0000 .
## r_urbanisationTowns and suburbs 0.0000 .
## r_urbanisationRural areas 0.0000 .
## tenure_statusOwner without outstanding mortgage 0.0000 .
## tenure_statusOwner with outstanding mortgage 0.0000 .
## tenure_statusTenant, rent at market price 0.0000 .
## tenure_statusTenant, rent at reduced price 0.0000 .
## tenure_statusTenant, rent free 0.0000 .
## disposable_income_before_quantiles 0.0000 0.9938
## eCDF Mean eCDF Max
## n_children 0.000 0.0000
## n_employed 0.000 0.0000
## n_retired 0.000 0.0000
## n_persons 0.000 0.0000
## total_disposable_income_before_social_transfers_eqi 0.033 0.1489
## regionFI19 0.000 0.0000
## regionFI1B 0.000 0.0000
## regionFI1C 0.000 0.0000
## regionFI1D 0.000 0.0000
## r_urbanisationCities 0.000 0.0000
## r_urbanisationTowns and suburbs 0.000 0.0000
## r_urbanisationRural areas 0.000 0.0000
## tenure_statusOwner without outstanding mortgage 0.000 0.0000
## tenure_statusOwner with outstanding mortgage 0.000 0.0000
## tenure_statusTenant, rent at market price 0.000 0.0000
## tenure_statusTenant, rent at reduced price 0.000 0.0000
## tenure_statusTenant, rent free 0.000 0.0000
## disposable_income_before_quantiles 0.000 0.0000
## Std. Pair Dist.
## n_children 0.0000
## n_employed 0.0000
## n_retired 0.0000
## n_persons 0.0000
## total_disposable_income_before_social_transfers_eqi 0.3214
## regionFI19 0.0000
## regionFI1B 0.0000
## regionFI1C 0.0000
## regionFI1D 0.0000
## r_urbanisationCities 0.0000
## r_urbanisationTowns and suburbs 0.0000
## r_urbanisationRural areas 0.0000
## tenure_statusOwner without outstanding mortgage 0.0000
## tenure_statusOwner with outstanding mortgage 0.0000
## tenure_statusTenant, rent at market price 0.0000
## tenure_statusTenant, rent at reduced price 0.0000
## tenure_statusTenant, rent free 0.0000
## disposable_income_before_quantiles 0.0000
##
## Sample Sizes:
## Control Treated
## All 7775. 1082
## Matched (ESS) 135.53 826
## Matched 383. 826
## Unmatched 7392. 256
## Discarded 0. 0
plot(summary(fi_m_out))
fi_m_data <- match_data(fi_m_out) %>%
calculate_dimensions()
fi_m_data %>%
group_by(takeup_allowance_housing) %>%
summarise(across(c(starts_with("dim")), ~mean(.x, na.rm = TRUE))) %>%
knitr::kable()
| FALSE |
0.2140992 |
0.0939948 |
0.1801567 |
0.2146597 |
0.3717277 |
| TRUE |
0.4588378 |
0.1815981 |
0.3115152 |
0.3560146 |
0.4647202 |
glm(dim_insecurity ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = fi_m_data) %>%
modelsummary(., stars = TRUE)
tinytable_2qjbps5xyvnewwdofdpk
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-1.443*** |
| |
(0.221) |
| takeup_allowance_housingTRUE |
0.448* |
| |
(0.206) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
1209 |
| AIC |
992.6 |
| BIC |
1007.9 |
| Log.Lik. |
-493.304 |
| F |
21.003 |
| RMSE |
0.35 |
glm(dim_quality ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = fi_m_data) %>%
modelsummary(., stars = TRUE)
tinytable_n8dgc8itj5vmxq6bxh9p
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-0.434* |
| |
(0.177) |
| takeup_allowance_housingTRUE |
0.328* |
| |
(0.163) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
1208 |
| AIC |
1303.2 |
| BIC |
1318.5 |
| Log.Lik. |
-648.594 |
| F |
43.745 |
| RMSE |
0.43 |
glm(dim_quality2 ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = fi_m_data) %>%
modelsummary(., stars = TRUE)
tinytable_mlkn5qnbpgjxcp5ufrah
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-0.325+ |
| |
(0.168) |
| takeup_allowance_housingTRUE |
0.354* |
| |
(0.154) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
1205 |
| AIC |
1397.1 |
| BIC |
1412.4 |
| Log.Lik. |
-695.538 |
| F |
41.538 |
| RMSE |
0.44 |
glm(dim_locality ~ takeup_allowance_housing + total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = fi_m_data) %>%
modelsummary(., stars = TRUE)
tinytable_c24kpklqloku5naefu23
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
0.053 |
| |
(0.147) |
| takeup_allowance_housingTRUE |
0.173 |
| |
(0.134) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
1204 |
| AIC |
1611.1 |
| BIC |
1626.4 |
| Log.Lik. |
-802.563 |
| F |
19.573 |
| RMSE |
0.49 |
glm(overcrowded_eurostat ~ takeup_allowance_housing +
total_disposable_income_before_social_transfers_eqi,
family = binomial("logit"),
data = fi_m_data) %>%
modelsummary(., stars = TRUE)
tinytable_sty747nvc2jkbqsdo3ih
| |
(1) |
| + p < 0.1, * p < 0.05, ** p < 0.01, *** p < 0.001 |
| (Intercept) |
-0.551** |
| |
(0.183) |
| takeup_allowance_housingTRUE |
0.249 |
| |
(0.169) |
| total_disposable_income_before_social_transfers_eqi |
0.000*** |
| |
(0.000) |
| Num.Obs. |
1209 |
| AIC |
1237.9 |
| BIC |
1253.2 |
| Log.Lik. |
-615.950 |
| F |
38.495 |
| RMSE |
0.41 |